Director, Business Intelligence

The Bayshore on Hilton Head•Des Moines, IA

3d•$133,000 - $166,000

About The Position

The Director, Business Intelligence leads the strategy, evolution, and delivery of Insight Advantage and LCS’s enterprise business intelligence capabilities. This working leader is accountable for creating a trusted, consistent, and increasingly personalized experience that helps leaders and teams make stronger decisions to improve occupancy, operating performance, workforce effectiveness, and resident experience. The role leads the BI team, owns the BI product roadmap and delivery standards, and partners closely with business leaders, Data Engineering, Data Governance, Data Science, AI Solutions, and IT. The Director ensures reporting and semantic models are scalable, governed, understandable, and reusable across dashboards, self-service analytics, and emerging AI-enabled experiences. This position reports to the VP, Data & AI. The Senior Business Intelligence Analyst reports to this position. Travel frequency is 0–10%.

Requirements

Bachelor’s degree in a relevant field or equivalent experience.
Minimum of 10 years of progressive experience in business intelligence, analytics, or a related discipline.
Experience leading BI products or platforms used by multiple business functions.
Strong experience with Power BI or a comparable enterprise BI platform, including semantic modeling, measures, visualization, performance, and security concepts.
Demonstrated ability to translate business decisions and user needs into scalable BI products and roadmaps.
Experience leading, coaching, or directing technical professionals and cross-functional delivery teams.
Strong communication, stakeholder partnership, prioritization, and change-leadership skills.
Ability to balance strategic leadership with sufficient technical depth to guide design and delivery.

Nice To Haves

Experience with Power BI and Snowflake in an enterprise environment.
Experience establishing governed semantic models, metric definitions, lineage, or data-product standards.
Experience introducing self-service analytics, proactive insights, natural-language analytics, or other AI-assisted BI capabilities.
Experience working in a federated analytics environment with both central and business-led developers.
Experience measuring product adoption, user experience, and realized business value.
Senior living, healthcare, hospitality, real estate, or other distributed operating-model experience.

Responsibilities

Lead the strategy, roadmap, and ongoing evolution of Insight Advantage and LCS’s enterprise BI capabilities, balancing platform sustainability, user needs, and measurable business value.
Own the BI product experience across enterprise and community audiences, including consistent navigation, trusted metrics, role-based access, self-service capabilities, and effective release and adoption practices.
Lead the design and stewardship of reusable BI semantic models, measures, calculations, and reporting standards in partnership with Data Engineering and Data Governance.
Partner with Data Engineering and IT on architecture, performance, security, integrations, and the appropriate placement of data transformation and business logic across Snowflake, Power BI, and related platforms.
Partner with AI Solutions and Data Science to enable governed, AI-assisted analytics experiences such as proactive narratives, natural-language questions, personalized insights, and decision support.
Own BI demand management and prioritization within the shared Data & AI intake and portfolio process, translating business problems into clear product requirements, delivery plans, and measurable outcomes.
Build relationships with leaders and users across communities and corporate functions to understand decisions, workflows, and information needs and incorporate feedback into the BI roadmap.
Establish and monitor measures for BI adoption, reliability, user experience, delivery performance, and business value; use those measures to improve or retire products over time.
Lead, coach, and develop the BI team and broader analytics community while establishing practical standards and support models for federated BI contributors.
Remain sufficiently hands-on to guide solution design, review technical work, troubleshoot complex issues, and contribute directly to priority initiatives when needed.
Manage and lead the team, including hiring, training, coaching, evaluating and managing performance, allocating compensation, handling employee relations issues, and managing terminations.
Perform other duties as assigned.